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检索条件"任意字段=First IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2005"

共 1161 条记录，以下是181-190 订阅

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Predictive Maintenance Using GPU-Accelerated Partially Observable Markov Decision Process

Predictive Maintenance Using GPU-Accelerated Partially Obser...

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international conference on Parallel and distributed systems (ICPADS)

作者： Naman Sharma Chen-Khong Tham Dept. of ECE National University of Singapore Singapore

ISBN: (纸本)9781728125848

The Industrial IoT era has seen an outburst of areas benefiting from collecting more data. This includes Industry 4.0 and predictive maintenance, which have benefited from advancements in edge and fog computing. Predictive maintenance aims to minimize the downtime due to maintenance of machinery, while simultaneously minimizing the risk of unforeseen failures. This paper proposes a method to aid industries to make maintenance scheduling decisions that can be adopted in a distributed factory environment. The Partially Observable Markov Decision Process (POMDP) approach is used to determine the optimal time for maintenance for a machine. We first put forward an offline method for learning the Markov model parameters using historical sensor data. To allow for continual learning, an algorithm based on particle filters is proposed to provide online estimation of parameters of a Partially Observable MDP model. The particle filter algorithm allows the framework to adapt uniquely to each machine. The relative benefits of the POMDP model over a standard MDP model in the presence of noisy sensor data are evaluated through simulations which show significant improvements in revenue and reduced downtime. The POMDP and particle filter computations are executed on GPU-accelerated edge devices which achieve a speed-up of around 4 times compared to the CPU implementation.

关键词： Predictive maintenance Industrial IoT Partially observable MDP Particle filter GPU Predictive maintenance Particle filters Markov chain sensor Data downtime GRAPPER PICK UP Graphics Processing Unit Particle filtering algorithm

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AirBeam: Experimental Demonstration of distributed Beamforming by a Swarm of UAVs

AirBeam: Experimental Demonstration of Distributed Beamformi...

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ieee Internatonal conference on Mobile Adhoc and sensor systems (MASS)

作者： Subhramoy Mohanti Carlos Bocanegra Jason Meyer Gokhan Secinti Mithun Diddi Hanumant Singh Kaushik Chowdhury Northeastern University Boston MA USA Istanbul Technical University Istanbul Turkey

ISBN: (数字)9781728146010

ISBN: (纸本)9781728146027

We propose AirBeam, the first complete algorithmic framework and systems implementation of distributed air-to-ground beamforming on a fleet of UAVs. AirBeam synchronizes software defined radios (SDRs) mounted on each UAV and assigns beamforming weights to ensure high levels of directivity. We show through an exhaustive set of the experimental studies on UAVs why this problem is difficult given the continuous hovering-related fluctuations, the need to ensure timely feedback from the ground receiver due to the channel coherence time, and the size, weight, power and cost (SWaP-C) constraints for UAVs. AirBeam addresses these challenges through: (i) a channel state estimation method using Gold sequences that is used for setting the suitable beamforming weights, (ii) adaptively starting transmission to synchronize the action of the distributed radios, (iii) a channel state feedback process that exploits statistical knowledge of hovering characteristics. Finally, AirBeam provides insights from a systems integration viewpoint, with reconfigurable B210 SDRs mounted on a fleet of DJI M100 UAVs, using GnuRadio running on an embedded computing host.

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A Blockchain-Based Collocation Storage Architecture for Data Security Process Platform of WSN 22

A Blockchain-Based Collocation Storage Architecture for Data...

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22nd ieee international conference on Computer Supported Cooperative Work in Design (CSCWD)

作者： Feng, Libo Zhang, Hui Lou, Liqi Chen, Yong Beihang Univ State Key Lab Software Dev Environm Sch Comp Sci Beijing 100191 Peoples R China Beihang Univ Beijing Adv Innovat Ctr Big Data & Brain Comp Beijing 100191 Peoples R China Beijing Univ Posts & Telecommun State Key Lab Informat Photon & Opt Commun Beijing 100876 Peoples R China

ISBN: (纸本)9781538614822

Wireless sensor Networks (WSN) interconnects thousands of sensor nodes to support the services of Internet of Things (IoT). However, data collected from sensor nodes may be tempered, forged and divulged. Traditional WSN data process platform handle the data centralized in terminal devices which is vulnerable to attacks and reduce the security of the system. Blockchain is a kind of distributed databases. It has been successfully applied in finance, securities, digital currency and other fields. We first propose a blockchain-based distributed collocation storage architecture for data security process platform of WSN with consensus protocol and asymmetric signature scheme. The security and efficiency are verified on the simulation to enable blockchain as a good solution.

关键词： blockchain collaborative computing consensus algorithm distributed systems WSN

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Energy efficiency of MAC Protocols in Wireless sensor Networks 13

Energy efficiency of MAC Protocols in Wireless Sensor Networ...

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13th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Zhou, Xiaoli Boukerche, Azzedine Univ Ottawa PARADISE Res Lab Ottawa ON Canada

ISBN: (纸本)9781538639917

Reservation-based and contention-based MAC protocols have their own advantages in data transmissions under mobile sensor networks. This paper presents a quantitative analysis of two types of MAC protocols in throughput, delay, and energy efficiency under various traffic loads environments using queueing theory. The analytical and simulation results show the design strategies of hybrid MAC protocols for mobile dynamic traffic scenarios.

关键词： Media Access Protocol Throughput Mobile communication Delays Energy consumption Data communication

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sensor Selection for Heterogeneous Coverage Measures 13

Sensor Selection for Heterogeneous Coverage Measures

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13th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Shamoun, Simon Abdelzaher, Tarek Bar-Noy, Amotz Bar Ilan Univ Fac Engn Ramat Gan Israel Univ Illinois Dept Comp Sci 1304 W Springfield Ave Urbana IL 61801 USA CUNY Grad Ctr Dept Comp Sci New York NY USA

ISBN: (纸本)9781538639917

We consider sensor selection to optimize multiple conditions. Specifically, we model the sensor network as a graph, in which weighted edges indicate the ability of one node to predict the data of another. Each node is associated with several data types, so there are links for each data type. The objective is to maximize the coverage of all data types. This is applicable to such problems as monitoring air quality in cities and coal mines using several indicators of quality. We first define the maximization criteria, and then how to modify the model and existing algorithms to solve the problem. We demonstrate the importance of the problem and the quality of our methodology on synthetic and realistic scenarios.

关键词： sensor selection graph models hybrid coverage

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Automated Time Delay Estimation for distributed sensor systems of Electric Vehicles

Automated Time Delay Estimation for Distributed Sensor Syste...

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ieee international conference on Intelligent Data Acquisition and Advanced computing systems

作者： Jakob Pfeiffer Xuyi Wu Chair for Data Processing TU Munich Munich Germany

Deviations between electric current measurements and reality can cause severe problems in the power train of electric vehicles (EVs). Among others, these are unnecessary power limitations and inaccurate performance coordination during driving or charging. One reason for these deviations are time delays. In this paper, we present three different approaches for time delay estimation (TDE) and evaluate these with real data from power trains of EVs. Besides the accuracy of the TDE, the focus of our evaluation lies on the computational efficiency to enable an execution on automotive electronic control units (ECUs). The Linear Regression approach suffers even from small noise and offsets in the measurement data and is unsuited for our purpose. A better alternative is the Variance Minimization approach. It is not only more noise-resistant but also very efficient after the first execution. Another interesting approach are Adaptive Filters presented by Emadzadeh et al. Unfortunately, Adaptive Filters do not reach the accuracy and efficiency of Variance Minimization in our experiments. Thus, we recommend Variance Minimization for TDE of current signals in the power train of EVs.

关键词： Delay effects Current measurement Time measurement Estimation Linear regression Minimization Adaptive filters

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distributed Visual sensor Network Calibration based on Joint Object Detections 13

Distributed Visual Sensor Network Calibration based on Joint...

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13th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Simonjan, Jennifer Rinner, Bernhard Alpen Adria Univ Klagenfurt Klagenfurt Austria

ISBN: (纸本)9781538639917

In this paper we present a distributed, autonomous network calibration algorithm, which enables visual sensor networks to gather knowledge about the network topology. A calibrated sensor network provides the basis for more robust applications, since nodes are aware of their spatial neighbors. In our approach, sensor nodes estimate relative positions and orientations of nodes with overlapping fields of view based on jointly detected objects and geometric relations. Distance and angle measurements are the only information required to be exchanged between nodes. The process works iteratively, first calibrating camera neighbors in a pairwise manner and then spreading the calibration information through the network. Further, each node operates within its local coordinate system avoiding the need for any global coordinates. While existing methods mostly exploit computer vision algorithms to relate nodes to each other based on their images, we solely rely on geometric constraints.

关键词： Cameras Calibration Estimation Object detection Three-dimensional displays Visualization Network topology

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Efficient many-to-many data sharing using synchronous transmission and TDMA 13

Efficient many-to-many data sharing using synchronous transm...

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13th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Saha, Sudipta Landsiedel, Olaf Chan, Mull Choon Indian Inst Technol Bhubaneswar Bhubaneswar Orissa India Univ Chalmers Gothenburg Sweden Natl Univ Singapore Singapore Singapore

ISBN: (纸本)9781538639917

Achieving fast and efficient. many-to-many communication is one of the most complex communication problems, especially in wireless systems. A compact form of many-to-many communication in a distributed system has the potential to bring huge benefit to many distributed algorithms and protocols. Many to -many communication can he implemented as a sequential instantiations of a network wide one-to-many communication. One limitation of such an approach is that each individual instance of a one-to-many communication has to be given enough time to propagate through the whole network before the next instance. In addition, there is large overhead in generating the schedule for the sequence of individual one-to-many communications. In this work, we show that many-to-many communication can be more efficiently implemented as many parallel many-to-one communications. In this direction, we first develop an efficient TDMA based many-to-one communication module, and then use it in many-to-many setting. Our approach achieves a minimmn about 20% to 50% improvements on latency (radio-on time) over the state-of-the-art solutions in a 90-node wireless sensor network testbed.

关键词： Protocols Synchronization Schedules Time division multiple access Wireless sensor networks Wireless communication Reliability

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distributed Collision-free Data Aggregation Approach for Wireless sensor Networks 13

Distributed Collision-free Data Aggregation Approach for Wir...

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13th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Merzoug, Mohammed Amine Mostefaoui, Ahmed Chouali, Samir Univ Bejaia Fac Exact Sci Dept Comp Sci Bejaia 06000 Algeria Univ Bourgundy Franche Comte DISC Dept FEMTO ST Inst Dijon France

ISBN: (纸本)9781538639917

This paper presents a distributed serial data aggregation approach, called Spreading Aggregation (SA), in which one packet hops sequentially over nodes and aggregates their data. The next hop of the aggregation packet is determined locally by each traversed node using only its one-hop neighborhood information, so no network topology information needs to be known by nodes, nor collisions are generated as only one node is communicating at any given time. This localized and distributed characteristic makes the proposed approach highly scalable and very efficient in terms of communication-reduction, energy conservation, and aggregation time, as confirmed by the numerous simulation results we obtained. These results confirm also the superiority of the proposed approach over the state-ofthe-art serial approaches, particularly in very large scale network deployments.

关键词： Collision-free data aggregation Serial data aggregation Wireless sensor networks

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Connected Coverage in Three-Dimensional Wireless sensor Networks Using Convex Polyhedral Space-Fillers 13

Connected Coverage in Three-Dimensional Wireless Sensor Netw...

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13th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Ammari, Habib M. Fordham Univ Grad Sch Arts & Sci Dept Comp & Informat Sci Fordham Wireless Sensor & Mobile Ad Hoc Networks Bronx NY 10458 USA

ISBN: (纸本)9781538639917

The coverage problem of a three-dimensional (3D) space has similarity with the 3D tiling problem, which can be stated as follows: How can a 3D space be tiled by replicas of tiles? This is an instance of the second part of Hilbert's 18th problem [14]: "What convex polyhedra exist for which a complete filling of all space is possible by juxtaposition of congruent copies?" In this paper, we propose a polyhedral framework to investigate the connected coverage problem in 3D wireless sensor networks. first, we restrict the sensors' sensing sphere to a variety of convex polyhedral space-fillers. Our study aims to find the largest enclosed convex polyhedral space-filler in the sensors' sensing sphere, with a goal to maximize their utilized sensing volume. Second, based on this analysis, we select a minimum number of sensors to cover a 3D space for deterministic and random sensor deployment. Third, we compute the ratio of the communication range to the sensing range of the sensors to ensure network connectivity. Fourth, we corroborate our analysis with various simulation results.

关键词： Wireless sensor networks three-dimensional space fillers polyhedra coverage connectivity quality of coverage

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